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EDITORIAL article

Front. Mol. Biosci., 15 January 2024
Sec. Structural Biology
This article is part of the Research Topic Allosteric Functions and Inhibitions: Structural Insights View all 7 articles

Editorial: Allosteric functions and inhibitions: structural insights

  • Department of Chemistry, The Pennsylvania State University, University Park, PA, United States

The fundamental principle of allostery, known as “action from a distance,” is crucial in biological regulation, as illustrated by historical examples in gene regulation and enzymatic pathways. Traditional allostery models like the concerted Monod-Wyman-Changeux (MWC) (Monod et al., 1965) and sequential Koshland-Nemethy-Filmer (KNF) (Koshland et al., 1966) have evolved into more comprehensive frameworks, incorporating insights from protein conformational ensembles (Motlagh et al., 2014). The definition of allostery has expanded to include remote structural and/or dynamic changes induced by ligands, including small molecules and macromolecular binding partners, covalent modifications, and amino acid substitutions. This Research Topic aimed to spotlight emerging trends in allosteric regulation, particularly focusing on advancements in structure- and biophysics-driven methods.

Hur et al. Original Research article sheds light on resveratrol’s diverse effects on SIRT1, a NAD+-dependent deacetylase. SIRT1 allosteric regulation has been investigated as a potential therapeutic approach, due to its role in various diseases, including Alzheimer’s and Type II diabetes (Sinclair and Guarente, 2014; Manjula et al., 2021). Examination of over 6,800 acetylated peptide substrates revealed resveratrol’s varied impact—acting as an activator, inhibitor, or having no effect, depending on the substrate (Lakshminarasimhan et al., 2013). In the present work, enzyme kinetic studies revealed resveratrol’s modulation of the Michaelis-Menten parameter (KM) without altering the catalytic rate (kcat), indicating changes in substrate recognition and affinity. Additionally, resveratrol induced protein instability and altered conformations, with outcomes dependent on the peptide substrate. The authors propose a model elucidating resveratrol’s dual role: as an activator, it enhances SIRT1 flexibility, improving efficiency; as an inhibitor, it unravels crucial structural elements, impairing substrate recognition.

The Original Research article by (Venkatakrishnan et al.) investigated acrodysostosis-linked mutations in the protein kinase A (PKA) type 1 regulatory subunit isoform alpha (R1α) and associated phosphodiesterase (PDE). Acrodysostosis comprises rare genetic disorders with diverse clinical features, including skeletal anomalies and cognitive impairments (Silve et al., 2012). PKA activation is initiated by cAMP binding to the R subunit and PDE-mediated cAMP hydrolysis then acts to return PKA to its original inhibited state (Jarnaess and Taskén, 2007). The mutations, T207A in R1α and T690P in PDE8, are located at the R1α:PDE8 interface. Both mutations impaired processive cAMP cycling. Based on hydrogen-deuterium exchange mass spectrometry (HDXMS) analysis, the authors suggest that the T690P mutation diminishes or eliminates the conformational dynamics linked to the nucleotide channel in PDE8, which may act as both an ingress and egress point for cAMP and AMP respectively. The authors also propose that the interactions between the side chain of Thr207 and the phosphate moiety of cAMP or AMP play a crucial role in the efficient channeling of cAMP out of the system; the loss of these interactions likely slows the channeling process.

The Original Research article by (Lee et al.) investigated structural and conformational dynamic changes in the enzyme biliverdin reductase B (BLVRB) throughout its catalytic cycle. BLVRB, a NADPH-dependent oxidoreductase, plays a critical role in redox regulation and is implicated in hepatic and prostate cancer (Huan et al., 2016; Ramberg et al., 2021). X-ray crystallography and nuclear magnetic resonance (NMR) studies revealed structural and dynamic changes across catalytic intermediates. Residues displaying chemical shift differences between the enzyme bound with the oxidized and reduced cofactor were mutated, including those near (e.g., Ser111 and His153) and far (i.e., Thr164) from the active site. These mutations all induced changes in enzyme kinetics, prompting the authors to propose that allosteric coupling to the cofactor’s oxidation state is crucial for enzyme function. R2 relaxation dispersion experiments, which measure conformational dynamics on the μs-ms timescale (Farber and Mittermaier, 2015), identified distinct residue dynamics, with one group exhibiting motion only in the apo state and another throughout the rest of the catalytic cycle. A third group, including Thr164, displayed differences between oxidized and reduced cofactor states, and may be important in relaying the allosteric effect of the T162S mutation.

The Review article by (Knight et al.) highlights the insights gained from comparing mesophilic and thermophilic enzyme counterparts, shedding light on conformational ensembles and intra-protein communication. The authors discuss findings from temperature-dependent NMR, X-ray crystallography, and calorimetry studies, revealing that temperature changes can enhance, suppress, or have no effect on allosteric coupling. So, while studies have brought insight into individual cases, the authors note that there is a lack of broadly defined biophysical principles that distinguish mesophilic from thermophilic proteins, which would help propel the field further.

The Review article by (Komives) focuses on the enzyme thrombin, a serine protease that plays a key regulatory role in the blood coagulation pathway (Di Cera et al., 2007). Interestingly, binding of Na+ favors the cleavage of fibrinogen to form the fibrin clot (procoagulant activity), whereas thrombomodulin (TM) binding favors the proteolytic activation of protein kinase C (anticoagulant activity). The review highlights what has been learned from HDXMS, NMR and computational studies of thrombin, especially revealing functionally-relevant conformational dynamics across ns-s timescales. The TM binding site of thrombin is shown to be allosterically coupled to the active site, where TM binding increases and decreases protein motions in the N- and C-terminal β-barrels, respectively, to modulate function.

The Review article by (Yu and Boehr) summarizes recent findings on how membrane interactions impact the structure, dynamics, and function of peripheral-membrane binding enzymes. These studies utilize various methods including X-ray crystallography, NMR, HDXMS, and molecular dynamics simulations. Despite significant insights into the allosteric activation of these enzymes, more detailed understanding of structural rearrangements awaits higher resolution structure determination in most cases. In-cell imaging methods can complement these studies, offering insights into the colocalization of membrane-bound proteins with specific lipids, leading to allosteric regulation.

These articles emphasize diverse structural and biophysical methods employed to investigate protein allostery, which integrate well with computational models. They highlight the dual importance of both structural alterations and changes in internal protein motions to govern enzyme function. Exploring these enzymes further will aid in identifying and utilizing allosteric sites, conventional and cryptic, which offer novel drug interaction sites for therapeutic interventions. Moreover, similar studies in relevant cases can establish a groundwork for protein engineering in applications like biotechnology, synthetic biology, and medicine.

Author contributions

DB: Writing–original draft, Writing–review and editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by NIH grant AI104878.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Di Cera, E., Page, M. J., Bah, A., Bush-Pelc, L. A., and Garvey, L. C. (2007). Thrombin allostery. Phys. Chem. Chem. Phys. 9, 1291–1306. doi:10.1039/b616819a

PubMed Abstract | CrossRef Full Text | Google Scholar

Farber, P. J., and Mittermaier, A. (2015). Relaxation dispersion NMR spectroscopy for the study of protein allostery. Biophys. Rev. 7, 191–200. doi:10.1007/s12551-015-0166-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Huan, L., Bao, C., Chen, D., Li, Y., Lian, J., Ding, J., et al. (2016). MicroRNA-127-5p targets the biliverdin reductase B/nuclear factor-κB pathway to suppress cell growth in hepatocellular carcinoma cells. Cancer Sci. 107, 258–266. doi:10.1111/CAS.12869

PubMed Abstract | CrossRef Full Text | Google Scholar

Jarnaess, E., and Taskén, K. (2007). Spatiotemporal control of cAMP signalling processes by anchored signalling complexes. Biochem. Soc. Trans. 35, 931–937. doi:10.1042/BST0350931

PubMed Abstract | CrossRef Full Text | Google Scholar

Koshland, D. E., Nemethy, J. G., and Filmer, D. (1966). Comparison of experimental binding data and theoretical models in proteins containing subunits. Biochemistry 5, 365–385. doi:10.1021/bi00865a047

PubMed Abstract | CrossRef Full Text | Google Scholar

Lakshminarasimhan, M., Rauh, D., Schutkowski, M., and Steegborn, C. (2013). Sirt1 activation by resveratrol is substrate sequence-selective. Aging 5, 151–154. doi:10.18632/AGING.100542

PubMed Abstract | CrossRef Full Text | Google Scholar

Manjula, R., Anuja, K., and Alcain, F. J. (2021). SIRT1 and SIRT2 activity control in neurodegenerative diseases. Front. Pharmacol. 11, 585821. doi:10.3389/FPHAR.2020.585821

PubMed Abstract | CrossRef Full Text | Google Scholar

Monod, J., Wyman, J., and Changeux, J. P. (1965). On the nature of allosteric transitions: a plausible model. J. Mol. Biol. 12, 88–118. doi:10.1016/S0022-2836(65)80285-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Motlagh, H. N., Wrabl, J. O., Li, J., and Hilser, V. J. (2014). The ensemble nature of allostery. Nature 508, 331–339. doi:10.1038/nature13001

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramberg, H., Richardsen, E., De Souza, G. A., Rakaee, M., Stensland, M. E., Braadland, P. R., et al. (2021). Proteomic analyses identify major vault protein as a prognostic biomarker for fatal prostate cancer. Carcinogenesis 42, 685–693. doi:10.1093/CARCIN/BGAB015

PubMed Abstract | CrossRef Full Text | Google Scholar

Silve, C., Clauser, E., and Linglart, A. (2012). Acrodysostosis. Horm. Metab. Res. 44, 749–758. doi:10.1055/S-0032-1316330

PubMed Abstract | CrossRef Full Text | Google Scholar

Sinclair, D. A., and Guarente, L. (2014). Small-molecule allosteric activators of sirtuins. Annu. Rev. Pharmacol. Toxicol. 54, 363–380. doi:10.1146/ANNUREV-PHARMTOX-010611-134657

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: allostery, conformational dynamics, conformational ensemble, network model, protein-ligand binding

Citation: Boehr DD (2024) Editorial: Allosteric functions and inhibitions: structural insights. Front. Mol. Biosci. 11:1363100. doi: 10.3389/fmolb.2024.1363100

Received: 29 December 2023; Accepted: 08 January 2024;
Published: 15 January 2024.

Edited and reviewed by:

Annalisa Pastore, King’s College London, United Kingdom

Copyright © 2024 Boehr. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: David D. Boehr, ddb12@psu.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.